Wavelet-Based Artifact Identification and Separation Technique for EEG Signals during Galvanic Vestibular Stimulation

<table class="table-group" id="tab9"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td align="left">  Frequency band </td><td align="center"> Correlation </td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td align="left"> Estimated GVS artifact without wavelet decomposition</td><td align="center"> 0.7673 </td></tr><tr><td align="left"> Estimated GVS artifact from 0.12 Hz to 250 Hz </td><td align="center"> 0.8463 </td></tr><tr><td align="left"> Estimated GVS artifact from 0.24 Hz to 125 Hz </td><td align="center"> 0.9168 </td></tr><tr><td align="left"> Estimated GVS artifact from 0.49 Hz to 62.5 Hz </td><td align="center"> 0.9725 </td></tr><tr><td align="left"> Estimated GVS artifact from 0.49 Hz to 31.25 Hz </td><td align="center"> 0.9776 </td></tr><tr><td align="left"> Estimated GVS artifact from 0.49 Hz to 15.75 Hz </td><td align="center"> 0.9769 </td></tr><tr><td align="left"> Estimated GVS artifact from 0.98 Hz to 31.25 Hz </td><td align="center"> 0.9899 </td></tr><tr><td align="left"> Estimated GVS artifact from 0.98 Hz to 15.75 Hz </td><td align="center"> 0.9899 </td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Correlation between the GVS signal and the estimated GVS artifact reconstructed from different frequency components for real data.

Computational and Mathematical Methods in Medicine

tab9

Table 9

Table 9: Wavelet-Based Artifact Identification and Separation Technique for EEG Signals during Galvanic Vestibular Stimulation 